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Özalp Özer is a passionate scholar who enjoys working with researchers and practitioners on the next new 'think' that calls for the exciting opportunity to explore, learn, and contribute. As an executive leader at Amazon, Özalp is helping build, manage, and optimize Amazon's core supply chain. His team of product managers, data scientists, management scientists, and economists are developing the optimization algorithms and predictive models that power Fulfillment-By-Amazon (FBA), empowering third-party sellers to outsource order fulfillment to Amazon, allowing them to focus on growing their businesses.
In addition to his work at Amazon, Özalp is a chaired Professor of Management Science. He has taught at the University of Texas at Dallas, the Massachusetts Institute of Technology, Columbia University, and Stanford. He has received numerous awards for his research and teaching, including the George and Fonsa Brody Professorship and Ashbel Smith Professorship from UT system, the Wickham Skinner Early-Career Research Accomplishment Award from POM Society, the Hellman faculty fellowship, and the Terman faculty fellowship from Stanford.
Throughout his prolific career, Özalp has published several papers illustrating how he and his coauthors use methodological tools from a broad area of scientific fields including Operations Research, Economics, Statistics, Machine Learning, and Management Science to solve high-impact business problems. His articles have appeared in journals such as Management Science, and Operations Research. He is currently serving as an associate editor for Management Science, M&SOM, Operations Research, and Production and Operations Management. He is an active consultant to industry and has consulted companies such as General Motors, Hewlett Packard, Hitachi GST, IBM, Neiman Marcus, and University Hospitals of Cleveland.